AI is taking jobs. But only from those who cannot use it.
The statistics are clear. AI is automating tasks across every industry at an unprecedented pace. But here is what most people miss: AI does not replace skilled users. It replaces unskilled ones.
The real problem is not AI. It is how people use it.
AI is only powerful when it is used correctly. A poorly written prompt to GPT-4 wastes tokens, produces garbage output, and costs real money. The difference between a proficient AI user and an amateur is not what model they use. It is how they use it.
Most professionals today are stuck on ChatGPT. They do not know that Claude handles long documents better. They do not understand that Gemini has a 2 million token context window. They have never heard of RAG, function calling, or multi-agent workflows. They are paying enterprise rates for consumer-level output.
Older employees are particularly affected. Not because they lack intelligence, but because no one is measuring their AI fluency or showing them what they are missing. Companies are spending thousands on AI licenses while their teams use 5% of the capability.
AI proficiency is not optional. It is the new literacy.
Without the right skills, expensive models are wasted. With the right skills, even free models outperform the competition.
Annual AI skills gap
Companies are investing in AI tools their teams cannot fully utilize. The gap between AI spending and AI competency is growing every quarter.
Only use ChatGPT
Most professionals have never tried Claude, Gemini, Mistral, or open-source models. They do not know what they are missing or which model fits their workflow.
Cost difference
A proficient AI user produces the same output in one prompt that an amateur needs five attempts to achieve. At enterprise token pricing, that difference is thousands per month.
Cannot iterate effectively
When the first AI output is wrong, most users give up or start over. Proficient users refine, add constraints, and converge in 2-3 iterations.
Niches we assess
From prompt engineering and RAG to AI agents, evaluation frameworks, safety protocols, and tool orchestration. Every skill a business needs, measured.
Time to score
Our adaptive engine measures real AI proficiency in under 3 minutes. No long tests, no trivia, no wasted time. Just applied judgment under pressure.
Every niche a business could want to test on.
Inpromptify does not just test prompt engineering. We cover the full spectrum of AI proficiency that modern businesses need:
- Prompt engineering across multiple models (GPT-4, Claude, Gemini, Mistral, open-source)
- RAG architecture, chunking strategies, and retrieval optimization
- AI agent workflows, function calling, and multi-step orchestration
- Output evaluation, hallucination detection, and quality assurance
- AI safety, bias mitigation, prompt injection defense, and compliance
- Workflow optimization, token efficiency, and cost management
- Model selection for specific use cases (when to use which model and why)
- Iteration intelligence (refining outputs, adding constraints, converging on quality)
Whether you are hiring a marketing team that needs content generation skills or a dev team that needs agentic workflow expertise, we have the assessment for it.
How we connect and integrate
Inpromptify plugs into the tools your HR and engineering teams already use.
ATS Integration
Greenhouse, Lever, Workday, BambooHR, Ashby. One-click candidate assessment directly from your hiring pipeline.
LMS Embedding
Canvas, Moodle, Blackboard via LTI. Embed assessments into your existing learning management system.
Zapier and Make
Connect to Slack, Teams, Notion, Google Sheets, and 5,000+ apps. Automate assessment triggers and notifications.
REST API
Full API with webhooks. Create assessments, pull scores, sync results to your own systems programmatically.
Built by someone who lives in AI.
I am Miles Cass from Perth, Western Australia. I spend 17 hours a day on my computer building with AI. Not browsing. Not scrolling. Building.
I started using AI in high school and went full time the day I graduated at 18. While my mates were figuring out uni applications, I was deep in prompt engineering, testing every model that launched, breaking things, learning what actually works and what is just hype.
The idea for Inpromptify came from watching the gap widen. Companies were spending massive budgets on AI tools, but their employees could barely write a decent prompt. Older workers were stuck on ChatGPT because nobody showed them there were better options for their specific tasks. New hires claimed "AI proficiency" on their resumes with nothing to back it up.
I am building Inpromptify to change that. To measure, test, compare, and benchmark AI proficiency across every industry. To set the standard that tells employers exactly how capable their team is with AI. And to make sure the next generation of employees does not just use AI, but uses it well.
I also love competition. The idea of a universal scale where people can measure and compare their AI capabilities excites me. Imagine posting your PromptScore on X or LinkedIn and seeing how you stack up against others in your field. Not a vanity metric. A real, verified measure of how well you use the most important technology of our generation. That is the future I am building.
No VC money. No board meetings. No one telling me to water it down. Just relentless focus on building the most accurate AI proficiency assessment on the market.
See where your team stands
Take the free 3-minute assessment. No account required. Get your PromptScore instantly.